Tensorflow Lite 编译

咸承教
2023-12-01

Google最近发布了Tensorflow Lite,并且提供了demo,虽然该demo可以使用bazel build –cxxopt=’–std=c++11’ //tensorflow/contrib/lite/java/demo/app/src/main:TfLiteCameraDemo命令成功编译出来,但是文档中并没有提及如何纯粹的编译出动态库,参考之前的一篇文章《当 Android 开发者遇见 TensorFlow》,这篇文章就简单介绍一下如何编译动态库

clone 代码

 
     
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修改TensorFlow项目根下的WROKSPACE文件

将以下代码反注释

 
     
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# Uncomment and update the paths in these entries to build the Android demo.
android_sdk_repository(
name = "androidsdk",
api_level = 23,
# Ensure that you have the build_tools_version below installed in the
# SDK manager as it updates periodically.
build_tools_version = "26.0.1",
# Replace with path to Android SDK on your system
path = "/Users/lizhangqu/AndroidSDK",
)
#
android_ndk_repository(
name= "androidndk",
path= "/Users/lizhangqu/AndroidNDK/android-ndk-r14b",
# This needs to be 14 or higher to compile TensorFlow.
# Please specify API level to >= 21 to build for 64-bit
# archtectures or the Android NDK will automatically select biggest
# API level that it supports without notice.
# Note that the NDK version is not the API level.
api_level=14)

然后修改android_sdk_repository中的path为自己电脑中的android sdk目录,修改android_ndk_repository中的path为自己电脑的android ndk目录。

值得注意的是,ndk的版本,官方建议使用大于r14的版本,下载地址android-ndk-r14b-darwin-x86_64.zip

编译

确保必要的工具已经安装,如bazel

 
     
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bazel build --cxxopt='--std=c++11' //tensorflow/contrib/lite/java:tensorflowlite \
- -crosstool_top=//external:android/crosstool \
--host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
--cpu=armeabi

编译其他ABI请修改cpu参数,分别为

 
     
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--cpu=armeabi
--cpu=armeabi-v7a
--cpu=arm64-v8a
--cpu=mips
--cpu=mips64
--cpu=x86
--cpu=x 86_64

产物位于

 
     
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bazel-bin /tensorflow/contrib /lite/java/libtensorflowlite_jni.so
bazel-bin /tensorflow/contrib /lite/java/libtensorflowlitelib.jar

注意编译mips和mips64的时候,需要将构建脚本稍微修改一下,删除一部分代码,否则会报错

找到/tensorflow/contrib/lite/build_def.bzl文件,找到如下代码

 
     
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def tflite_linkopts_unstripped():
"""Defines linker flags to reduce size of TFLite binary.
These are useful when trying to investigate the relative size of the
symbols in TFLite.
Returns:
a select object with proper linkopts
"""
return select({
"//tensorflow:android": [
"-Wl,--no-export-dynamic", # Only inc syms referenced by dynamic obj.
"-Wl,--exclude-libs,ALL", # Exclude syms in all libs from auto export.
"-Wl,--gc-sections", # Eliminate unused code and data.
"-Wl,--as-needed", # Don't link unused libs.
],
"//tensorflow/contrib/lite:mips": [],
"//tensorflow/contrib/lite:mips64": [],
"//conditions:default": [
"-Wl,--icf=all", # Identical code folding.
],
})
def tflite_jni_linkopts_unstripped():
"""Defines linker flags to reduce size of TFLite binary with JNI.
These are useful when trying to investigate the relative size of the
symbols in TFLite.
Returns:
a select object with proper linkopts
"""
return select({
"//tensorflow:android": [
"-Wl,--gc-sections", # Eliminate unused code and data.
"-Wl,--as-needed", # Don't link unused libs.
],
"//tensorflow/contrib/lite:mips": [],
"//tensorflow/contrib/lite:mips64": [],
"//conditions:default": [
"-Wl,--icf=all", # Identical code folding.
],
})

将上面代码中的下面这段删除

 
     
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"//tensorflow:android": [
"-Wl,--no-export-dynamic", # Only inc syms referenced by dynamic obj.
"-Wl,--exclude-libs,ALL", # Exclude syms in all libs from auto export.
"-Wl,--gc-sections", # Eliminate unused code and data.
"-Wl,--as-needed", # Don't link unused libs.
],

以及这一段也删除

 
     
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"//tensorflow:android": [
"-Wl,--gc-sections", # Eliminate unused code and data.
"-Wl,--as-needed", # Don't link unused libs.
],

临时删除后,编译完mips和mips64还原即可,不然会报如下错误

 
     
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ERROR: /Users/lizhangqu /Desktop/tensorflow /tensorflow/contrib /lite/java /BUILD:133:1: Illegal ambiguous match on configurable attribute "linkopts" in / /tensorflow/contrib /lite/ java:libtensorflowlite_jni. so:
//tensorflow/contrib/lite:mips
//tensorflow:android
Multiple matches are not allowed unless one is unambiguously more specialized.
ERROR: Analysis of target '//tensorflow/contrib/lite/java:tensorflowlite' failed; build aborted:
/Users/lizhangqu /Desktop/tensorflow /tensorflow/contrib /lite/java /BUILD:133:1: Illegal ambiguous match on configurable attribute "linkopts" in / /tensorflow/contrib /lite/ java:libtensorflowlite_jni. so:
//tensorflow/contrib/lite:mips
//tensorflow:android
Multiple matches are not allowed unless one is unambiguously more specialized.
 
     
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ERROR: /Users/lizhangqu /Desktop/tensorflow /tensorflow/contrib /lite/java /BUILD:133:1: Illegal ambiguous match on configurable attribute "linkopts" in / /tensorflow/contrib /lite/ java:libtensorflowlite_jni. so:
//tensorflow/contrib/lite:mips64
//tensorflow:android
Multiple matches are not allowed unless one is unambiguously more specialized.
ERROR: Analysis of target '//tensorflow/contrib/lite/java:tensorflowlite' failed; build aborted:
/Users/lizhangqu /Desktop/tensorflow /tensorflow/contrib /lite/java /BUILD:133:1: Illegal ambiguous match on configurable attribute "linkopts" in / /tensorflow/contrib /lite/ java:libtensorflowlite_jni. so:
//tensorflow/contrib/lite:mips64
//tensorflow:android
Multiple matches are not allowed unless one is unambiguously more specialized.

http://fucknmb.com/2017/11/17/Tensorflow-Lite%E7%BC%96%E8%AF%91/
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